Perception-based influence factors of intention to adopt COVID-19 epidemic prevention in China

. 2020 Jul 27;190:109995. doi: 10.1016/j.envres.2020.109995

Table A.1Factor loading of influence factors by measurement model test

Constructs	Items	Outer loadings	Cronbach-α	ρ-A	CMPR	AVE
Risk perception (RP)	RP₁	0.813	0.746	0.805	0.815	0.791
	RP₂	0.848
	RP₃	0.901
	RP₄	0.862
	RP₅	0.824

Epidemic knowledge (EPK)	EPK₁	0.837	0.773	0.816	0.896	0.776
	EPK₂	0.811
	EPK₃	0.786
	EPK₄	0.829
	EPK₅	0.714
	EPK₆	0.850
	EPK₇	0.902
	EPK₈	0.793

Attitude towards epidemic prevention (ATEP)	ATEP₁	0.921	0.726	0.753	0.865	0.800
	ATEP₂	0.871
	ATEP₃	0.880
	ATEP₄	0.738
	ATEP₅	0.904

Perceived feasibility to adopt epidemic prevention (PFEP)	PFEP₁	0.885	0.738	0.837	0.850	0.766
	PFEP₂	0.881
	PFEP₃	0.820
	PFEP₄	0.790

Perceived behavioural control (PBC)	PBC₁	0.838	0.822	0.839	0.857	0.751
	PBC₂	0.854
	PBC₃	0.862
	PBC₄	0.756
	PBC₅	0.744

Subjective norms (SBN)	SBN₁	0.756	0.761	0.782	0.790	0.789
	SBN₂	0.704
	SBN₃	0.758
	SBN₄	0.749

Moral Norms (MNS)	MNS₁	0.761	0.845	0.891	0.902	0.701
	MNS₂	0.803
	MNS₃	0.727
	MNS₄	0.772
	MNS₅	0.813

Risk aversion (RA)	RA₁	0.732	0.873	0.887	0.899	0.801
	RA₂	0.791
	RA₃	0.721
	RA₄	0.786
	RA₅	0.734

Governments' guidelines on epidemic prevention (GGEP)	GGEP₁	0.920	0.766	0.829	0.872	0.748
	GGEP₂	0.875
	GGEP₃	0.889
	GGEP₄	0.763
	GGEP₅	0.825

Intention to adopt epidemic (COVID-19) prevention (IAEP)	IAEP₁	0.867	0.798	0.805	0.840	0.795
	IAEP₂	0.838
	IAEP₃	0.753
	IAEP₄	0.808
	IAEP₅	0.906
	IAEP₆	0.719

Notes: the level of agreement is categorized as: 5 = “strong agreement”, 4 = “agreement”, 3 = “neutral”, 2 = “disagreement”, 1 = “strong disagreement.”